Multiple linear regression models explain the variation in a dependent variable using more than one independent variables. You should know how to use an F-test to test the effectiveness of nested models. Become familiar with the effects that heteroskedasticity, serial correlation, and multicollinearity have on regression results, and be able to identify common model misspecifications. Finally, understand the role of influential observations in the estimated model, and the use of logistic regression models.
نظرات کاربران